Zoom in for PI names; click circles, group labels, and lines for PI, group, and connection details.
Rendering network...

Report summary

The 2015-2017 picture for University of California, San Francisco Department of Pharmaceutical Chemistry is a 42-PI network with 53 internal PI collaborations. The main research signal is Biochemistry, Genetics and Molecular Biology as the leading field (36% of slots across 33 PIs; 33 labels), Molecular Biology as the leading subfield (25% of slots across 28 PIs; 28 labels), and Computational Drug Discovery Methods as the leading topic (3% of slots across 4 PIs; 4 labels). That is a nice sign for applicants and collaborators, because the network has both density and separable local groups. The leading PI names are Bo Huang (9.5 weighted works; Advanced Fluorescence Microscopy Techniques, Cell Image Analysis Techniques). The clearest collaboration lines are Lani F. Wu and Steven J. Altschuler (10 shared works, weight 4.2). The leading breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 11.7, around Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, led by Andrej Săli, Philip J. Rosenthal, Charles S. Craik.